Anti-microbial peptides (AMPs), naturally encoded by genes and generally containing 12–100 amino acids, are crucial components of the innate immune system and can protect the host from various pathogenic bacteria and viruses. In recent years, the widespread use of antibiotics has resulted in the rapid growth of antibiotic-resistant microorganisms that often induce critical infection and pathogenesis. Since antibiotic resistance is a growing phenomenon in contemporary medicine, newer antibiotic treatments of the antimicrobial peptides can provide a possible solution. In the past, there have been several databases or tools dedicated to integrating the information. With the development and maturation of high-throughput sequencing technologies in recent years, more protein sequences need to be specific and accurate to reduce the cost of experiments, so we need a tool that can be efficiently calculated and accurately predicted.

Materials and methods

Performance of prediction algorithms based on different life domains